Model comparison
DeepSeek V4 Pro vs Gemini 2.5 Pro
Head-to-head evidence from 5 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); Gemini 2.5 Pro #70 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro and Gemini 2.5 Pro share 5 comparable benchmark results. 3 of 8 categories are comparable. 18 results are unique to DeepSeek V4 Pro; 19 to Gemini 2.5 Pro.
Updated July 23, 2026- Shared results
- 5
- DeepSeek V4 Pro only
- 18
- Gemini 2.5 Pro only
- 19
- Comparable categories
- 3 / 8
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 4 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Pro is clearly ahead on the BenchAlign aggregate, 60.66 to 57.25. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in mathematics, where it averages 31.7 against 11.6. The single biggest benchmark swing on the page is HLE, 7.7% to 18.8%.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro. That is roughly 11.5x on output cost alone.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | DeepSeek V4 Pro | Δ | Gemini 2.5 Pro |
|---|---|---|---|
| Math | DeepSeek V4 Pro31.7 | Margin← 20.1 | Gemini 2.5 Pro11.6 |
| Knowledge | DeepSeek V4 Pro41.3 | Margin← 13.9 | Gemini 2.5 Pro27.4 |
| Coding | DeepSeek V4 Pro65.3 | Margin← 1.5 | Gemini 2.5 Pro63.8 |
| Agentic | DeepSeek V4 Pro59.1 | MarginNo overlap | Gemini 2.5 ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 7.7%B 18.8%Winner: Gemini 2.5 ProΔ 11.1HLE: DeepSeek V4 Pro scored 7.7%; Gemini 2.5 Pro scored 18.8%. Gemini 2.5 Pro wins this benchmark. - Source ↗
GPQA
KnowledgeA 72.9%B 83%Winner: Gemini 2.5 ProΔ 10.1GPQA: DeepSeek V4 Pro scored 72.9%; Gemini 2.5 Pro scored 83%. Gemini 2.5 Pro wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 73.6%B 63.8%Winner: DeepSeek V4 ProΔ 9.8SWE-bench Verified: DeepSeek V4 Pro scored 73.6%; Gemini 2.5 Pro scored 63.8%. DeepSeek V4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro | Gemini 2.5 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | Gemini 2.5 Pro$1.25 input / $10 output | DeepSeek V4 Pro has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | Gemini 2.5 Pro117 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | Gemini 2.5 Pro21.19 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | Gemini 2.5 Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| MCP AtlasSource | 69.4% | — | Not comparable |
| ToolathlonSource | 46.3% | — | Not comparable |
| Claw-EvalSource | 59.8% | — | Not comparable |
| Gert LabsSource | 50.28% | 42.01% | DeepSeek V4 Pro leads |
| ResearchClawBenchSource | 17.1% | — | Not comparable |
| AA Agentic IndexSource | — | 7.1% | Not comparable |
| τ²-bench resultsSource | — | 54.1% | Not comparable |
| GDPval-AASource | — | 8.3% | Not comparable |
| GDPval-AASource | — | 665 | Not comparable |
CodingDeepSeek V4 Pro wins7 benchmarks
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.6% | 63.8% | DeepSeek V4 Pro leads |
| SWE-bench ProSource | 52.1% | — | Not comparable |
| SWE MultilingualSource | 69.8% | — | Not comparable |
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| Vibe Code BenchSource | — | 0.40% | Not comparable |
| AA Coding IndexSource | — | 33.3% | Not comparable |
| AA-SciCodeSource | — | 42.8% | Not comparable |
Reasoning4 benchmarks
KnowledgeDeepSeek V4 Pro wins12 benchmarks
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro | Result |
|---|---|---|---|
| MMLU-ProSource | 82.9% | — | Not comparable |
| SimpleQASource | 45% | — | Not comparable |
| Chinese-SimpleQASource | 75.8% | — | Not comparable |
| GPQASource | 72.9% | 83% | Gemini 2.5 Pro leads |
| GPQA-DSource | 72.9% | — | Not comparable |
| HLESource | 7.7% | 18.8% | Gemini 2.5 Pro leads |
| Artificial Analysis Intelligence IndexSource | — | 25.8% | Not comparable |
| AA-GPQA DiamondSource | — | 84.4% | Not comparable |
| AA-HLESource | — | 21.1% | Not comparable |
| AA-Omniscience IndexSource | — | -14.3% | Not comparable |
| AA-Omniscience AccuracySource | — | 39.0% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 87.4% | Not comparable |
MathDeepSeek V4 Pro wins6 benchmarks
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 31.7% | — | Not comparable |
| IMOAnswerBenchSource | 35.3% | — | Not comparable |
| ApexSource | 0.4% | — | Not comparable |
| Apex ShortlistSource | 9.2% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 14.138% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 4.167% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro | Gemini 2.5 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 48.7% | Not comparable |
Frequently Asked Questions (4)
Which is better, DeepSeek V4 Pro or Gemini 2.5 Pro?
DeepSeek V4 Pro is ahead on BenchLM's BenchAlign leaderboard, 60.66 to 57.25. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 18.8%.
Which is better for knowledge tasks, DeepSeek V4 Pro or Gemini 2.5 Pro?
DeepSeek V4 Pro has the edge for knowledge tasks in this comparison, averaging 41.3 versus 27.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro or Gemini 2.5 Pro?
DeepSeek V4 Pro has the edge for coding in this comparison, averaging 65.3 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Pro or Gemini 2.5 Pro?
DeepSeek V4 Pro has the edge for math in this comparison, averaging 31.7 versus 11.6. Gemini 2.5 Pro stays close enough that the answer can still flip depending on your workload.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.